TianGong LM
Kunlun World Wide's self-developed double-gigabyte large language model, with powerful text generation and comprehension capabilities and support for multimodal interaction, is an important innovation in the field of Chinese AI.
What is Outlier AI?
Outlier AI is an AI training platform launched in 2023 by Scale AI, a US-based data labeling company, which aims to improve the quality and safety of generative AI models through the involvement of human experts.The platform connects professionals in various fields to help the world's leading AI labs (such as OpenAI, Meta, and Microsoft) optimize their large-scale language models (LLMs) .
Outlier AI's main tasks include generating high-quality training data, evaluating the output of AI models, and optimizing model responses through Reinforcement Learning with Human Feedback (RLHF).The platform offers flexible remote work opportunities for a variety of professionals to participate in the training and evaluation of AI models, with compensation based on the type of project and area of expertise .
The launch of Outlier AI signaled the importance of human experts in AI model training and provided a new path for AI development.By combining human intelligence with machine learning, Outlier AI is committed to building smarter, safer AI systems.
Outlier AI'sKey Features
- Automatic anomaly detection:Outlier AI is able to continuously monitor datasets, automatically identifying anomalous patterns and reducing the need for manual analysis.
- Root Cause Analysis:More than just identifying anomalies, Outlier AI goes deeper to analyze their root causes, providing users with more comprehensive insights.
- Customizable dashboards:Users can create personalized dashboards based on specific needs for easy data visualization and monitoring.
- Interactive Reporting:Users can generate detailed reports and easily share key findings with their teams.
- Real-time alerts:When an anomaly is monitored, the system notifies the user immediately to ensure a quick response.
Outlier AIUsage Scenarios
- financial industry::Monitor for anomalies in consumption patterns and identify potentially fraudulent transactions.
- health care::Monitor patient data and identify health trends that require immediate attention.
- network security::Analyze traffic patterns to identify potential security threats.
- retail industry::Analyze sales data to help optimize inventory management and enhance customer experience.
Outlier AIGuidelines for use
- register an account::interviews Outlier AI Official Website and create an account.
- Completion of induction training::Complete a 1 to 5 hour training module and assessment to ensure that you are able to use the platform effectively.
- data integration::Connect Outlier AI to existing data sources, including spreadsheets, databases, and cloud platforms.
- Creating Dashboards::Create customized dashboards to set up monitoring parameters based on specific business needs.
- Monitoring and alarm settings::Once setup is complete, Outlier AI continuously monitors the data and provides real-time alerts for anomalies.
Outlier AIRecommended Reasons
- user-friendly interface::The design is intuitive and easy to follow even for users without a background in data science.
- real time monitoring::The ability to monitor datasets in real-time and detect anomalies in a timely manner helps organizations react quickly.
- automated analysis::Automating the data analysis process reduces the need for manual intervention, saving time and labor.
- Flexible remote working::Flexible remote work opportunity for a variety of professionals involved in the training and evaluation of AI models.
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